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Finance Engineer Jobs (NOW HIRING)

Mercor

Agentic Finance Engineer

San Francisco, CA · On-site

$175K - $250K/yr

Mercor's first Agentic Finance Engineer. You'll sit at the intersection of finance, data engineering, and applied AI - building the systems and infrastructure that power how our finance and corporate ...

Spring Health

Senior Finance Engineer

New York, NY · Hybrid

$159K - $179K/yr

Reporting to the VP of Financial Planning & Analysis and Chief of Staff to the CFO, the Senior Finance Engineer will play a critical role in designing and scaling the technical infrastructure that ...

Spring Health

Senior Finance Engineer

New York, NY · Hybrid

$159K - $179K/yr

Reporting to the VP of Financial Planning & Analysis and Chief of Staff to the CFO, the Senior Finance Engineer will play a critical role in designing and scaling the technical infrastructure that ...

Spring Health

Senior Finance Engineer

New York, NY · On-site +1

$159K - $179K/yr

Reporting to the VP of Financial Planning & Analysis and Chief of Staff to the CFO, the Senior Finance Engineer will play a critical role in designing and scaling the technical infrastructure that ...

Salesforce

Lead Workday Finance Engineer (LMTS)

Dallas, TX · On-site

$101K - $133K/yr

The Lead Workday Finance Engineer will provide technical leadership for the DET IT Finance Engineering team, focusing on enhancing finance operations and integrations through innovation and AI. This ...

Salesforce

Lead Workday Finance Engineer (LMTS)

Atlanta, GA · On-site

$98K - $129K/yr

The Lead Workday Finance Engineer will provide technical leadership for the DET IT Finance Engineering team, focusing on enhancing finance operations and integrations through innovation and AI. This ...

Uw

Workday Finance Engineer

Seattle, WA

The Software Engineer will support Tier 3 Application Management functions in Workday Finance, a cloud-based finance software system. More specific responsibilities will include coordinating with ...

MerQube Inc

Financial Engineer

New York, NY · On-site

Qualifications: - Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience. - Proficiency in ...

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Finance Engineer information

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How much do finance engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for finance engineer in the United States is $110,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $124,500.00 per year, depending on experience, location, and employer.

What is the difference between Finance Engineer vs Financial Analyst?

AspectFinance EngineerFinancial Analyst
Required CredentialsBachelor's degree in finance, engineering, or related fields; certifications like CFABachelor's degree in finance, economics, or related fields; CFA often preferred
Work EnvironmentFinancial institutions, investment firms, or tech companies focusing on financial modelingBanking, investment firms, corporate finance departments
Employer & Industry UsageFinance and tech sectors integrating engineering principles into financeTraditional finance sectors analyzing market data and financial performance

Finance Engineers focus on developing complex financial models and algorithms, often combining engineering skills with finance knowledge. Financial Analysts primarily analyze financial data to guide investment and business decisions. While both roles require strong analytical skills and finance credentials, Finance Engineers tend to work more on technical modeling and software development, whereas Financial Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Finance Engineer, and why are they important?

To thrive as a Finance Engineer, you need a solid background in mathematics, finance, and computer science, often supported by a relevant degree such as finance, engineering, or quantitative disciplines. Familiarity with programming languages like Python or R, financial modeling tools, and platforms such as Bloomberg Terminal is typically required, along with certifications like CFA or FRM being advantageous. Strong analytical thinking, problem-solving abilities, and effective communication help you interpret data and collaborate with cross-functional teams. These skills are crucial for developing innovative financial solutions, managing risk, and supporting data-driven decision-making in complex financial environments.

How does a Finance Engineer typically collaborate with cross-functional teams within an organization?

Finance Engineers often work closely with teams such as data analytics, risk management, IT, and portfolio management to develop and implement financial models and automated trading systems. They contribute their quantitative expertise to solve complex financial problems, ensuring that technological solutions align with business goals. Regular communication and collaboration are essential, as Finance Engineers need to translate financial requirements into technical specifications and vice versa. This cross-functional work environment provides valuable opportunities to learn from other disciplines and develop a well-rounded understanding of both finance and technology.

What are Finance Engineers?

Finance engineers, also known as financial engineers or quantitative analysts, use mathematical models, computer science, and statistical techniques to solve financial problems and develop new financial products. They often work for banks, investment firms, hedge funds, insurance companies, or fintech companies, designing algorithms for trading, risk management, and asset valuation. Their expertise helps organizations make data-driven decisions and manage financial risks more effectively.
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Finance Engineer jobs near you
Infographic showing various Finance Engineer job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $110,812 per year, or $53.3 per hour.

Agentic Finance Engineer

Mercor

San Francisco, CA • On-site

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago

Job description

About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
This is a rare, foundational hire: Mercor's first Agentic Finance Engineer. You'll sit at the intersection of finance, data engineering, and applied AI - building the systems and infrastructure that power how our finance and corporate operations team runs.
You will design and deploy the modern data and automation stack from the ground up: architecting scalable financial data models, integrating AI agents into real workflows, and turning manual, spreadsheet-driven processes into reliable, production-grade systems.
The ideal candidate has deep finance domain knowledge - you understand how the books actually close, how procurement flows, how revenue is recognized - and the technical fluency to translate that understanding into durable, automated systems. You're equally comfortable in a SQL editor and in a conversation with the CFO, and you're energized by building in a zero-to-one environment.
What You'll Do
Finance Data & Systems
  • Facilitate the design, build, and maintenance of a reliable financial data foundation using modern tools (.g. dbt, FiveTran, Snowflake/BigQuery, Airflow), covering revenue, AP/AR, procurement, close, strategic finance and FP&A
  • Partner closely with data infrastructure team to build Mercor's financial data model: define canonical datasets, dimensional schemas, and the transformation logic that serves Finance stakeholders
  • Partner with Finance leads across accounting, strategic finance, and operations to translate business requirements into technical architecture
  • Build and maintain dashboards and self-serve reporting tools that give finance leaders real-time visibility into key metrics

AI & Automation
  • Own the Agentic Finance roadmap - prioritizing use cases and driving features from ideation to deployment
  • Identify high-value automation opportunities across Finance and corporate operations - month-end close tasks, reconciliations, procurement workflows, variance analysis - and ship solutions that eliminate manual work
  • Build intelligent, reliable automation via agents (in partnership with engineering teams), AI-powered tools, and multi-step ETL jobs into live finance workflows, using APIs (including frontier models)
  • Build internal tooling that Finance teams actually use: lightweight apps, workflow automations, and AI-assisted processes that save meaningful time at scale
  • Stay at the frontier of what's possible with AI in Finance (meeting other finance teams, reading research, etc.), and proactively bring new capabilities to bear on Mercor's highest-leverage operational problems

Governance, Quality & Scale
  • Enforce data integrity standards and testing practices across all financial data products - ensuring auditability and reliability for a maturing Finance function
  • Ensure AI-assisted processes meet appropriate governance and controls standards, with clear auditability of model outputs used in financial workflows
  • Champion a culture of data quality and documentation so that Finance teams trust and rely on the systems you build

What We're Looking For
  • 3+ years of experience spanning finance operations, data engineering, analytics engineering, data science, or a combination - with a track record of shipping reliable systems in high-growth environments
  • Understand the data needs of finance and corporate operations, including accounting, finance operations, FP&A, strategic finance, and procurement
  • You should be very proficient in SQL and Python. While you can learn data & workflow orchestration tools on-the-job, we expect you to have a very strong computer science fundamentals.
  • A builder's instinct: you take ownership of problems, move fast, and know when to do things properly versus pragmatically
  • Excellent communication skills - you can explain a data model to a CFO and a pipeline architecture to an engineer
  • Experience navigating ambiguity in early-stage or rapidly scaling environments

Bonus Points
  • Hands-on experience deploying AI agents or LLM-powered tools
  • Experience with financial data governance and audit readiness
  • Background in strategic finance, accounting, FP&A, or finance transformation - or time spent in a high-growth tech company's finance function

Compensation
  • Base cash comp from $175K - $250k
  • Generous equity grant vested over 4 years
  • Up to $15k Relocation bonus
  • $10K housing bonus (if you live within 0.5 miles of our office)
  • $1.5K monthly stipend for meals
  • Free Equinox membership
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance
  • 401(k) with company match

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